{"id":190972,"date":"2024-08-12T18:10:12","date_gmt":"2024-08-12T15:10:12","guid":{"rendered":"https:\/\/www.enerjigazetesi.ist\/?p=190972"},"modified":"2024-08-12T18:10:55","modified_gmt":"2024-08-12T15:10:55","slug":"yapay-zeka-ile-aydinlatma-ve-trafo-arizalari-nokta-atisi-ile-tespit-ediliyor","status":"publish","type":"post","link":"https:\/\/www.enerjigazetesi.ist\/en\/yapay-zeka-ile-aydinlatma-ve-trafo-arizalari-nokta-atisi-ile-tespit-ediliyor\/","title":{"rendered":"(Turkish) Yapay Zeka ile Ayd\u0131nlatma ve Trafo Ar\u0131zalar\u0131 Nokta At\u0131\u015f\u0131 ile Tespit Ediliyor"},"content":{"rendered":"

Sorry, this entry is only available in Turkish<\/a>. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language.<\/p>

<\/p>\n

Dicle Elektrik, sekt\u00f6rdeki yenilik\u00e7i yakla\u015f\u0131m\u0131n\u0131 yapay zeka teknolojileriyle birle\u015ftiriyor. 2024 y\u0131l\u0131n\u0131n ilk yar\u0131s\u0131nda ger\u00e7ekle\u015ftirilen projelerle, ayd\u0131nlatma ve trafo ar\u0131zalar\u0131 nokta at\u0131\u015f\u0131 tespit edilerek maliyetler d\u00fc\u015f\u00fcr\u00fcld\u00fc.<\/strong><\/h2>\n

\"\"<\/p>\n

Elektrik da\u011f\u0131t\u0131m sekt\u00f6r\u00fcnde Ar-Ge \u00e7al\u0131\u015fmalar\u0131yla \u00f6ne \u00e7\u0131kan Dicle Elektrik, kurdu\u011fu yapay zeka birimi<\/strong> ile enerji verimlili\u011fini art\u0131ran<\/strong> ve operasyonel m\u00fckemmeliyete olanak tan\u0131yan<\/strong> projelere imza at\u0131yor. Dicle Elektrik; \u00f6zellikle enerji kay\u0131plar\u0131n\u0131n \u00f6n\u00fcne ge\u00e7en ve \u00e7al\u0131\u015fma saatlerinde tasarruf sa\u011flayan bu projelerle, elektrik da\u011f\u0131t\u0131m sekt\u00f6r\u00fcnde teknolojiyi en efektif kullanan \u015firketler aras\u0131nda yer alarak katma de\u011fer sa\u011fl\u0131yor.<\/p>\n

Dicle Elektrik b\u00fcnyesinde faaliyet g\u00f6steren yapay zeka birimi, veri altyap\u0131s\u0131n\u0131n kurulmas\u0131 ve bak\u0131m\u0131, analitik modellerin geli\u015ftirilmesi, yapay zeka uygulamalar\u0131, veri g\u00fcvenli\u011fi ve gizlili\u011fi, i\u015f s\u00fcre\u00e7lerinin iyile\u015ftirilmesi, e\u011fitim ve yenilik\u00e7i teknolojilerin takibi gibi konularda \u00f6nemli ba\u015far\u0131lar elde etti. Bu kapsamda dikkat \u00e7eken projeler aras\u0131nda ‘Ayd\u0131nlatma Ar\u0131za Tespit Sistemi’<\/strong> \u00f6ne \u00e7\u0131k\u0131yor. Sistem, g\u00fcnd\u00fcz yanan ayd\u0131nlatmalar\u0131 tespit ederek enerji kay\u0131plar\u0131n\u0131n \u00f6n\u00fcne ge\u00e7iyor. Trafo Ar\u0131za Tespit Sistemi<\/strong> ise trafolardaki a\u015f\u0131r\u0131 y\u00fcklenmeleri engelleyerek vatanda\u015flar\u0131n cihazlar\u0131n\u0131n zarar g\u00f6rmesinin \u00f6n\u00fcne ge\u00e7iyor. Yapay zeka \u00e7al\u0131\u015fmalar\u0131 \u00f6nemli tasarruflar\u0131 da beraberinde getiriyor. \u00d6rne\u011fin ayd\u0131nlatma sistemlerinde meydana gelen SEYT (Saatlik En Y\u00fcksek T\u00fcketim) dengesizlikleri, saatlik kontroller sayesinde \u00f6nleniyor. Bu sayede, her bir armat\u00fcr i\u00e7in mobil uygulama \u00fczerinden gelen yakla\u015f\u0131k 4.500 TL’lik cezalar\u0131n \u00f6n\u00fcne ge\u00e7ilebiliyor.<\/p>\n

Veri S\u0131z\u0131nt\u0131lar\u0131 Tespit Ediliyor<\/strong><\/h3>\n
\"\"

Dicle Elektrik Genel M\u00fcd\u00fcr\u00fc Ya\u015far Arvas<\/p><\/div>\n

Konuyla ilgili a\u00e7\u0131klamalarda bulunan Dicle Elektrik Genel M\u00fcd\u00fcr\u00fc Ya\u015far Arvas, yapay zeka sayesinde\u00a0<\/strong>operasyonel verimlili\u011fi \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rd\u0131klar\u0131n\u0131 ifade ederek; \u201cYapay zeka teknolojileriyle m\u00fc\u015fteri memnuniyetini en \u00fcst d\u00fczeye \u00e7\u0131karmay\u0131 hedefledik. Maliyetlerimizi d\u00fc\u015f\u00fcrd\u00fck ve manuel olarak y\u00fcr\u00fct\u00fclen s\u00fcre\u00e7leri otonom hale getirdik. Bu alandaki \u00e7al\u0131\u015fmalar\u0131m\u0131zla ayd\u0131nlatma tahakkukunu art\u0131rarak \u015firketimizin kar marj\u0131n\u0131 art\u0131r\u0131rken veri s\u0131z\u0131nt\u0131lar\u0131n\u0131n da \u00f6n\u00fcne ge\u00e7tik. Sahadaki \u00e7al\u0131\u015fma arkada\u015flar\u0131m\u0131z\u0131n emeklerini daha verimli hale getirirken standartlar\u0131n d\u0131\u015f\u0131nda i\u015f yapan arkada\u015flar\u0131m\u0131z\u0131n ise tespitini daha kolay yapar hale geldik.\u201d<\/em> a\u00e7\u0131klamalar\u0131nda bulundu.<\/p>\n

Veriler Ak\u0131ll\u0131 Yaz\u0131l\u0131mlarla Toplan\u0131yor<\/strong><\/h3>\n

Arvas<\/strong>, veri toplama s\u00fcre\u00e7lerini de tamamen otomatik hale getirdiklerini belirterek; \u201cSahada aktif olarak hizmet verdi\u011fimiz 2,4 milyon aboneden<\/strong> yakla\u015f\u0131k olarak yar\u0131s\u0131, OSOS (Otomatik Saya\u00e7 Okuma Sistemi<\/strong>\u2019nden yararlan\u0131yor. Bu sayede enerji altyap\u0131s\u0131ndaki anormal durumlar\u0131 hemen tespit ediyor, gerekli m\u00fcdahaleye h\u0131zl\u0131 ba\u015flamak amac\u0131yla ak\u0131ll\u0131 sens\u00f6rler<\/strong> ve veri analiti\u011fi yaz\u0131l\u0131mlar\u0131n\u0131<\/strong> kullan\u0131yoruz. Bu sistemle ar\u0131za s\u00fcreleri k\u0131salt\u0131rken enerji kay\u0131plar\u0131n\u0131 da \u00f6nemli \u00f6l\u00e7\u00fcde azalt\u0131yoruz. Yine bu sayede d\u00fczenli \u00f6deme al\u0131\u015fkanl\u0131\u011f\u0131na sahip abonelerin nicel olarak artt\u0131r\u0131lmas\u0131n\u0131 da hedefliyoruz.\u201d<\/em> dedi. Arvas, a\u00e7\u0131klamalar\u0131nda sahada toplam 1.2 milyon saya\u00e7 ve 300 bin modemin yer ald\u0131\u011f\u0131n\u0131, yakla\u015f\u0131k olarak 250TB veri bulundu\u011funu ve bu verilerin g\u00fcnl\u00fck b\u00fcy\u00fcme oran\u0131n\u0131n 100GB oldu\u011funu da belirtti.<\/p>\n

Saya\u00e7 ve M\u00fch\u00fcr Tespitinde \u0130\u015f Y\u00fck\u00fc Y\u00fczde 50 Azald\u0131<\/strong><\/h3>\n

Yapay zeka teknolojilerini hukuki veri analizinde de kullanan Dicle Elektrik, \u2018Dava De\u011ferlerinin PDF \u00dczerinden Okutulmas\u0131\u2019 projesiyle b\u00fcy\u00fck bir verimlilik sa\u011flad\u0131. Yakla\u015f\u0131k 42.000 dosyan\u0131n i\u015flenmesi sonucunda toplam 1.050 saatlik i\u015f y\u00fck\u00fc kazan\u0131ld\u0131 ve her bir personel i\u00e7in 175 saatlik zaman tasarrufu elde edildi. \u015eirket ayr\u0131ca dava kazanma ve kaybetme olas\u0131l\u0131klar\u0131n\u0131 yapay zeka ile analiz ederek stratejik karar alma s\u00fcre\u00e7lerini de g\u00fc\u00e7lendirdi. \u2018\u0130\u00e7 Kontrol Saya\u00e7 ve M\u00fch\u00fcr Tespiti\u2019 projesiyle ise saha personelinin g\u00fcc\u00fc daha verimli kullan\u0131ld\u0131. B\u00f6ylelikle ofis personelinin i\u015f y\u00fck\u00fc %50 oran\u0131nda azalt\u0131ld\u0131.<\/p>\n

Di\u011fer yandan \u2018Kesme A\u00e7ma Foto\u011fraf Kontrol\u00fc\u2019<\/strong> projesiyle manuel inceleme gereksinimi b\u00fcy\u00fck \u00f6l\u00e7\u00fcde azalt\u0131larak, ayl\u0131k ortalama 40.000 foto\u011fraf\u0131n yerine 4.000 foto\u011fraf\u0131n dijital olarak incelenmesi sa\u011fland\u0131. Bu d\u00f6n\u00fc\u015f\u00fcmle birlikte kesme i\u015flemlerinin kalitesinde %98 oran\u0131nda bir art\u0131\u015f elde edildi.<\/p>\n

Gen\u00e7 Yetenekler Yapay Zeka Uzman\u0131 Oluyor\u00a0<\/strong><\/h3>\n

Dicle Elektrik\u2019in gen\u00e7 m\u00fchendis ve teknoloji uzmanlar\u0131na \u00e7e\u015fitli f\u0131rsatlar sunarak potansiyellerini geli\u015ftirmelerine yard\u0131mc\u0131 olduklar\u0131n\u0131 da kaydeden Arvas,<\/strong> \u201cYapay zeka destekli projelerde gen\u00e7 profesyonellerin aktif rol almas\u0131na \u00f6nem veriyoruz. Dicle \u00dcniversitesi ile yapt\u0131\u011f\u0131m\u0131z i\u015f birli\u011fi neticesinde, son 2 y\u0131lda birimimizde 4 gen\u00e7 yetenek arkada\u015f yapay zeka uzman\u0131 olarak \u00e7al\u0131\u015fmaya ba\u015flad\u0131. Enerji altyap\u0131s\u0131n\u0131n y\u00f6netimi ve veri analizi gibi alanlarda yer alan gen\u00e7 yetenekler, yenilik\u00e7i yakla\u015f\u0131mlar\u0131yla hedeflerimize katk\u0131 sa\u011fl\u0131yor. Uygulad\u0131\u011f\u0131m\u0131z bu stratejiyle gen\u00e7 profesyonellerin enerjinin gelece\u011finde s\u00f6z sahibi olmas\u0131n\u0131 sa\u011fl\u0131yoruz.\u201d<\/em> dedi.<\/p>","protected":false},"excerpt":{"rendered":"

Sorry, this entry is only available in Turkish. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language. Dicle Elektrik, sekt\u00f6rdeki yenilik\u00e7i yakla\u015f\u0131m\u0131n\u0131 yapay zeka teknolojileriyle birle\u015ftiriyor. 2024 y\u0131l\u0131n\u0131n ilk yar\u0131s\u0131nda ger\u00e7ekle\u015ftirilen projelerle, ayd\u0131nlatma ve trafo ar\u0131zalar\u0131 nokta at\u0131\u015f\u0131 tespit […]<\/p>\n","protected":false},"author":1,"featured_media":190974,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[51,53,157],"tags":[114890,12240,15016,50835,114889,73906],"views":36,"_links":{"self":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/190972"}],"collection":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/comments?post=190972"}],"version-history":[{"count":0,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/190972\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media\/190974"}],"wp:attachment":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media?parent=190972"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/categories?post=190972"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/tags?post=190972"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}